Human judgment systematically depends on the context in which information is presented, ordered, or framed, …
neural inference
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From a Bayesian perspective, perception and action are often modeled as processes of probabilistic inference, …
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Bidirectional temporal modeling starts from the observation that many stochastic processes can be described equally …
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Within the bayesian brain framework, temporality is usually taken for granted: causes are assumed to …
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Temporal credit assignment in biological systems concerns how the nervous system determines which past events …
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The brainās predictive capacities unfold along nested temporal hierarchies, in which faster and slower processes …
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Thinking about the present as something we infer, rather than something we simply observe, is …
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Perception is often described as if it were a simple, forward-moving chain: external events stimulate …
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Predictive processing treats perception and action as inference in a generative model that spans time, …
